Parallel and Distributed Computing Laboratory

Dept. of Computer Science & Information Engineering

National Central University, Taiwan

Location: Building E6, Room A309

The research goal of the Parallel and Distributed Computing Laboratory (PaDiC Lab) is to develop systems and architectures that automatically adapt to large-scale and dynamic computing environments, thereby simplifying the writing of distributed programs and improving execution efficiency. We also apply these technologies to various fields such as scientific computing, AI workflows, and information security.

Currently, research at the Parallel and Distributed Computing Laboratory primarily focuses on the following directions:

Virtual machine fault tolerance and high availability technologies

AI Agents

Security vulnerability detection

AI applications, remote sensing (imagery), and smart manufacturing

Research Groups and Directions

Our laboratory's research is primarily divided into three major groups:

1. Fault Tolerance Group (FT Group)

Improving the laboratory's self-developed virtual machine fault tolerance system. Based on QEMU's Live Migration technology, this system aims to ensure that virtual machines (VMs) can continue operating without interruption during hardware failures.

2. AI Agent Group

Focusing on the practical application development of AI Agents. The current primary research topic is an "AI Paper Review and Revision System." This system parses PDF text and layout formats (such as font sizes, chapters, tables, and citations), and performs compliance comparison through RAG (Retrieval-Augmented Generation) and LLMs to locate formatting and semantic errors while providing directly applicable revision suggestions. The objective is to build fully deployable and operational Agent system workflows (e.g., using LangGraph orchestration).

3. Security Group

Currently collaborating on projects funded by the National Science and Technology Council (NSTC), focusing on security vulnerability detection utilizing operational codes (Opcodes).

4. AI Application Group

Participated in projects from other laboratories, including AI applications, remote sensing (imagery), and smart manufacturing.

Courses

Fall 2026
(CE3007-B) Computer Network

Previous Courses
(CE1001-A) Introduction to Computer Science I, (CE1003-A) Introduction to Computer Science Lab I, (CE5049) Introduction to Grid Computing, (CE1002-A) Introduction to Computer Science II, (CE1004-A) Introduction to Computer Science Lab II, (CE3002-A) Operating System, (SE6023) Introduction to Cloud Computing, (CE6132) Advanced Distributed Computing Models, (CE6002) Computer Science Seminar, (CE3061) Advanced Java Programming, (SE6031) VM Core Technology for Industry PC, (CE3068-*) Cloud Service Security